I’m currently at SMX München, which is still one of my favorite conferences in Europe. The quality of the talks is superb, and the organization is just perfect. So today, after my talk (joint session with the awesome Dave Sottimano), I was listening to the inimitable Mike King give an excellent presentation together with Ari Nahmani on technical skill prerequisites for all digital marketers today. Needless to say, I strongly agree with their view that digital marketing has always been a technical discipline, and the web is getting more and more complex each day that passes.

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A couple of days ago, I wrote an article on tracking content engagement. Even though the solution itself works, and it’s a really neat trick if I can say so myself, it has its problems. After all the glory I showered on User Timings in Google Analytics, they have one serious flaw: they cap at 10,000 samples per day. What a ridiculous, arbitrary limit. In any case, this means that if you have enough traffic to accumulate 10K user timing hits per day, it means that the solution I provided in the previous article will not work for you, as the Pageviews will not be capped, meaning the calculation of Total Engaged Time / Pageviews will be skewed.

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When looking at Google Analytics reports, you’d think you get a pretty good idea of how people are interacting with your site, right? I mean, you’re tracking events here, pageviews there, and user timings, custom dimensions, custom metrics, and calculated metrics are all part of your daily lingo. But you’re also probably aware of how futile this tracking is. After all, all you’re seeing are numbers that reflect certain outcomes the visitors have produced on the website, and how these outcomes match against your preconceived goals and objectives, right?

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This is a really cool feature for Google Analytics data collection, of which I’ve heard very, very little buzz. It’s a way to debug any and all hits sent to the Google Analytics endpoint at https://www.google-analytics.com/collect. In all simplicity, you just need to copy the entire URL of the HTTP request to your clipboard, paste it into a web browser, and add /debug between the hostname and /collect.

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In this article, I’m going to tackle one of the most frequently asked questions out there: Can you run Google Analytics using the snippet AND using a Google Tag Manager Tag on the same page? There are many facets to this query, so I’ll try to tackle as many of them as I possibly can. First, a terminology rant. You hear lots of talk about “on-page” and “inline” Google Analytics tracking, as that’s what’s used to describe the non-GTM way of tracking Google Analytics.

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Welcome back my friends (to the show that never ends)! It’s been a couple of weeks since my last barrage of articles, and I think the time is ripe to do some testing! First things first, here’s a picture of me shovelling snow: And now back to the topic at hand. One of the things that seems to be a hot topic in Universal Analytics is cross-domain tracking. I’ve never really tackled the beast head-on, since there’s such a wealth of excellent articles about it out there.

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NOTE! This solution has been upgraded, and the new approach can be found here. If you’re unfamiliar with the lingo, cross-domain tracking is a hack used by Google Analytics to circumvent the web browser’s same-origin policy. Essentially, the policy dictates that browser cookies can only be shared with a parent domain and all its sub-domains. In other words, domainA.com and domainB.com do not share cookies. Since Google Analytics calculates sessions and users by using a cookie, this is problematic.

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